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Game decision-making method and system

A technology of decision-making system and decision-making method, applied in the direction of reasoning method, etc., can solve the problems of information, data update, difficult to make effective decisions, etc.

Pending Publication Date: 2020-03-27
南京星火技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of imperfect information game, due to the inaccurate understanding of the characteristics, strategy space and income function information of other participants, as the game problem becomes larger and more complex, it is difficult to solve the problem in a timely manner. The update of information and data makes it difficult to make effective decisions

Method used

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  • Game decision-making method and system

Examples

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no. 1 example

[0031] Figure 1a It is a schematic flow chart of the game decision-making method according to the first embodiment of the present application; Figure 1a As shown, it includes the following steps:

[0032] Step S101: Based on the pre-trained environment prediction model, the server side predicts the data of the unknown state of the imperfect information environment according to the data of the known state of the imperfect information environment, and obtains the data of the unknown state of the imperfect information environment effective predictive results;

[0033]In this embodiment, the environment prediction model may be a multi-layer perceptron, a recurrent neural network, a graph neural network, etc., which is not limited herein. Wherein, the data in the known state of the imperfect information environment and the data in the unknown state of the imperfect information environment can be structured data, unstructured data, or other types of data (such as semi-structured d...

no. 2 example

[0050] Corresponding to the game decision-making method provided in the foregoing embodiments, the embodiment of the present application also provides a method for training the environment prediction model based on the data of the known states of the imperfect information environment samples, wherein the imperfect information environment samples pass Samples are collected from a large number of imperfect information environments, and the specific implementation of the method will be described below in conjunction with the accompanying drawings and embodiments.

[0051] figure 2 It is a schematic flow chart of the training method of the environment prediction model shown in Embodiment 2 of the present application, as shown in figure 2 As shown, the training method includes:

[0052] Step S201: Based on the first sub-model, the server side obtains a sample encoding result of the data of the known state of the imperfect information environment sample according to the data of t...

no. 3 example

[0064] Based on the game decision-making method provided in the foregoing embodiments, correspondingly, the embodiment of the present application further provides a game decision-making system. The specific implementation of the method will be described below with reference to the drawings and embodiments.

[0065] image 3 It is a schematic structural diagram of the game decision-making system according to the third embodiment of the present application; as image 3 As shown, the decision-making system includes: a prediction unit 301 and a decision-making unit 302 configured on the server side. The prediction unit 301 is configured to, based on a pre-trained environment prediction model, analyze the data according to the known state of the imperfect information environment. The data of the unknown state of the imperfect information environment is predicted to obtain an effective prediction result of the data of the unknown state of the imperfect information environment; the ...

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Abstract

The embodiment of the invention provides a game decision-making method and system. The game decision-making method comprises the steps that a server side predicts data of an unknown state of an imperfect information environment according to data of the known state of the imperfect information environment based on a pre-trained environment prediction model, and an effective prediction result of thedata of the unknown state of the imperfect information environment is obtained; and the server makes an effective decision according to the effective prediction result of the data of the known stateof the imperfect information environment and the data of the unknown state of the imperfect information environment based on a reinforcement learning model. The game decision-making method can predictthe data of the unknown state of the imperfect information environment according to the data of the known state of the imperfect information environment so as to make an effective decision.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to a game decision-making method and system in an imperfect information environment. Background technique [0002] The game is to choose and implement from the behaviors or strategies that are allowed to choose under certain rules. It fully considers the individual's predicted behavior and actual behavior, and studies their optimization strategies. If at any point in the game process, each player can observe and remember the actions chosen by the previous players, it is called a perfect information game, otherwise it is called an imperfect information game. In the process of imperfect information game, due to the inaccurate understanding of the characteristics, strategy space and income function information of other participants, as the game problem becomes larger and more complex, it is difficult to solve the problem in a timely manne...

Claims

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Application Information

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IPC IPC(8): G06N5/04
CPCG06N5/04
Inventor 刘洁陈志熙石佳
Owner 南京星火技术有限公司
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